The advent of genome-scale techniques has brought a profound change in biologicalresearch, where the generation of large datasets is now commonplace in almost everyaspect of biomedical research. Such endeavors require sophisticated computational tools totransform data into knowledge, and to portray this knowledge in a human-comprehensibleform. These tools involve languages and concepts that are not part of a biologist'smainstream curriculum, or even of most biologist's mindsets. Such work may best beperformed with software packages imported from academic or commercial sources, whichthen requires computational expertise in implementing them and understanding their keyoperational variables; in other cases, context-specific computational strategies or algorithmsthat match the experimental situation are required. It is thus essential for an institution suchas the Joslin to support the activity of its laboratories and core facilities by providing accessto such computational expertise. In practice, the Bioinformatics Core will: provide the toolsand expertise in analyses of large databases. In particular it aims to support computationalanalyses of complex data by providing software tools, help and training, to provide andmaintain an infrastructure for high-end computing, and to co-ordinate the storage andinterchange of data generated in joslin laboratories by maintaining a common 'datawarehouse' for enhanced informativity of individual projects and inter-laboratory metaanalyses.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
2P30DK036836-21
Application #
7284671
Study Section
Special Emphasis Panel (ZDK1-GRB-N (J1))
Project Start
2007-04-01
Project End
2012-03-31
Budget Start
2007-06-01
Budget End
2008-03-31
Support Year
21
Fiscal Year
2007
Total Cost
$135,407
Indirect Cost
Name
Joslin Diabetes Center
Department
Type
DUNS #
071723084
City
Boston
State
MA
Country
United States
Zip Code
02215
Fujisaka, Shiho; Avila-Pacheco, Julian; Soto, Marion et al. (2018) Diet, Genetics, and the Gut Microbiome Drive Dynamic Changes in Plasma Metabolites. Cell Rep 22:3072-3086
Bartelt, Alexander; Widenmaier, Scott B; Schlein, Christian et al. (2018) Brown adipose tissue thermogenic adaptation requires Nrf1-mediated proteasomal activity. Nat Med 24:292-303
Weisman, Alanna; Lovblom, Leif E; Keenan, Hillary A et al. (2018) Diabetes Care Disparities in Long-standing Type 1 Diabetes in Canada and the U.S.: A Cross-sectional Comparison. Diabetes Care 41:88-95
Van Name, Michelle A; Hilliard, Marisa E; Boyle, Claire T et al. (2018) Nighttime is the worst time: Parental fear of hypoglycemia in young children with type 1 diabetes. Pediatr Diabetes 19:114-120
McGill, Dayna E; Volkening, Lisa K; Pober, David M et al. (2018) Depressive Symptoms at Critical Times in Youth With Type 1 Diabetes: Following Type 1 Diabetes Diagnosis and Insulin Pump Initiation. J Adolesc Health 62:219-225
Panduro, Marisella; Benoist, Christophe; Mathis, Diane (2018) Treg cells limit IFN-? production to control macrophage accrual and phenotype during skeletal muscle regeneration. Proc Natl Acad Sci U S A 115:E2585-E2593
Stanford, Kristin I; Goodyear, Laurie J (2018) Muscle-Adipose Tissue Cross Talk. Cold Spring Harb Perspect Med 8:
Katz, Michelle L; Guo, Zijing; Laffel, Lori M (2018) Management of Hypertension and High Low-Density Lipoprotein in Pediatric Type 1 Diabetes. J Pediatr 197:140-146.e12
Yoon, Sujung; Kim, Jungyoon; Musen, Gail et al. (2018) Prefronto-temporal white matter microstructural alterations 20?years after the diagnosis of type 1 diabetes mellitus. Pediatr Diabetes 19:478-485
Altindis, Emrah; Cai, Weikang; Sakaguchi, Masaji et al. (2018) Viral insulin-like peptides activate human insulin and IGF-1 receptor signaling: A paradigm shift for host-microbe interactions. Proc Natl Acad Sci U S A 115:2461-2466

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